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Browse files- README.md +6 -5
- __pycache__/constants.cpython-38.pyc +0 -0
- __pycache__/init.cpython-38.pyc +0 -0
- __pycache__/request_api.cpython-38.pyc +0 -0
- __pycache__/utils_display.cpython-38.pyc +0 -0
- example.csv +2140 -0
- flagged/CSV File/a921876e978875fb58ef427ce97565a9108ee864/task2.txt +0 -0
- flagged/CSV File/e3bb69f83d6fce562be660df45ea66879f201c06/test.csv +2 -0
- flagged/log.csv +21 -0
- gradio_app.py +280 -0
- init.py +67 -0
- logo_leaderboard.png +0 -0
- request_api.py +52 -0
- utils_display.py +40 -0
README.md
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@@ -1,12 +1,13 @@
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---
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title: ISM2023w
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-
emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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-
sdk_version:
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app_file:
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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| 2 |
title: ISM2023w
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+
emoji: 🏆
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+
colorFrom: yellow
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+
colorTo: red
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sdk: gradio
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+
sdk_version: 3.45.1
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+
app_file: gradio_app.py
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pinned: false
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+
license: other
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---
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| 12 |
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| 13 |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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__pycache__/constants.cpython-38.pyc
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Binary file (148 Bytes). View file
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__pycache__/init.cpython-38.pyc
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Binary file (2.42 kB). View file
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__pycache__/request_api.cpython-38.pyc
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Binary file (779 Bytes). View file
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__pycache__/utils_display.cpython-38.pyc
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Binary file (2.2 kB). View file
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example.csv
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|
flagged/CSV File/a921876e978875fb58ef427ce97565a9108ee864/task2.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
flagged/CSV File/e3bb69f83d6fce562be660df45ea66879f201c06/test.csv
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Hello;World;;;;;
|
| 2 |
+
1;2;;;;;
|
flagged/log.csv
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Team Name,Password,CSV File,output,flag,username,timestamp
|
| 2 |
+
A,A,/home/Bhattacharya/ism_leaderboard/ism_2023w/flagged/CSV File/e3bb69f83d6fce562be660df45ea66879f201c06/test.csv,"'
|
| 3 |
+
<html>
|
| 4 |
+
<head>
|
| 5 |
+
<title>Error</title>
|
| 6 |
+
</head>
|
| 7 |
+
<body>
|
| 8 |
+
Invalid CSV file format.
|
| 9 |
+
</body>
|
| 10 |
+
</html>
|
| 11 |
+
",,,2023-09-19 15:15:35.593357
|
| 12 |
+
A,123,/home/Bhattacharya/ism_leaderboard/ism_2023w/flagged/CSV File/a921876e978875fb58ef427ce97565a9108ee864/task2.txt,"'
|
| 13 |
+
<html>
|
| 14 |
+
<head>
|
| 15 |
+
<title>Error</title>
|
| 16 |
+
</head>
|
| 17 |
+
<body>
|
| 18 |
+
You have already submitted the maximum number of attempts for this phase.
|
| 19 |
+
</body>
|
| 20 |
+
</html>
|
| 21 |
+
",,,2023-09-28 09:58:31.803490
|
gradio_app.py
ADDED
|
@@ -0,0 +1,280 @@
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|
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|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import gradio as gr
|
| 2 |
+
import pandas as pd
|
| 3 |
+
import json
|
| 4 |
+
import os
|
| 5 |
+
from utils_display import AutoEvalColumn, fields, make_clickable_model, styled_error, styled_message
|
| 6 |
+
from datetime import datetime, timezone
|
| 7 |
+
from pathlib import Path
|
| 8 |
+
from request_api import make_get_request, make_post_request
|
| 9 |
+
from io import BytesIO, StringIO
|
| 10 |
+
LEADERBOARD_PATH = "/home/Bhattacharya/ism_leaderboard/files/leaderboard"
|
| 11 |
+
# Directory where request by models are stored
|
| 12 |
+
DIR_OUTPUT_REQUESTS = Path("requested_models")
|
| 13 |
+
EVAL_REQUESTS_PATH = Path("eval_requests")
|
| 14 |
+
|
| 15 |
+
##########################
|
| 16 |
+
# Text definitions #
|
| 17 |
+
##########################
|
| 18 |
+
|
| 19 |
+
banner_url = "https://huggingface.co/spaces/debayan/ISM2023w/resolve/main/logo_leaderboard.png"
|
| 20 |
+
BANNER = f'<div style="display: flex; justify-content: space-around;"><img src="{banner_url}" alt="Banner" style="width: 40vw; min-width: 300px; max-width: 600px;"> </div>'
|
| 21 |
+
|
| 22 |
+
TITLE = "<html> <head> <style> h1 {text-align: center;} </style> </head> <body> <h1> 🤗 Open Automatic Speech Recognition Leaderboard </b> </body> </html>"
|
| 23 |
+
|
| 24 |
+
INTRODUCTION_TEXT = "🏆 The ISM2023w Leaderboard ranks and evaluates models \
|
| 25 |
+
on the Hugging Face Spaces. \
|
| 26 |
+
\nWe report the Precision, Recall, Accuracy, Weighted [F1 Score](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html)\n"
|
| 27 |
+
|
| 28 |
+
CSV_TEXT = "<p>Please make sure that you upload the CSV in the correct format. Click the link to download a sample CSV!</p> <a href=\"https://huggingface.co/spaces/debayan/ism_2023w/raw/main/example.csv\" download=\"example.csv\">Download CSV</a>"
|
| 29 |
+
|
| 30 |
+
METRICS_TAB_TEXT = """
|
| 31 |
+
Here you will find details about the multi-class classification metrics and datasets reported in our leaderboard.
|
| 32 |
+
## Metrics
|
| 33 |
+
🎯 Word Error Rate (WER) and Real-Time Factor (RTF) are popular metrics for evaluating the accuracy of speech recognition
|
| 34 |
+
models by estimating how accurate the predictions from the models are and how fast they are returned. We explain them each
|
| 35 |
+
below.
|
| 36 |
+
"""
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
LAST_UPDATED = "Sep 28th 2023"
|
| 40 |
+
|
| 41 |
+
|
| 42 |
+
|
| 43 |
+
def create_html_page(title, content):
|
| 44 |
+
|
| 45 |
+
html_page = f"""
|
| 46 |
+
<html>
|
| 47 |
+
<head>
|
| 48 |
+
<title>{title}</title>
|
| 49 |
+
</head>
|
| 50 |
+
<body>
|
| 51 |
+
{content}
|
| 52 |
+
</body>
|
| 53 |
+
</html>
|
| 54 |
+
"""
|
| 55 |
+
|
| 56 |
+
return html_page
|
| 57 |
+
|
| 58 |
+
def fetch_leaderboard(phase=1):
|
| 59 |
+
|
| 60 |
+
"""
|
| 61 |
+
Fetch the leaderboard from the local disk
|
| 62 |
+
"""
|
| 63 |
+
params = {"phase": phase}
|
| 64 |
+
|
| 65 |
+
leaderboard_df = make_get_request("fetch-leaderboard", params)
|
| 66 |
+
csv_data = leaderboard_df.content.decode('utf-8')
|
| 67 |
+
|
| 68 |
+
#print(csv_data)
|
| 69 |
+
|
| 70 |
+
# create dataframe from csv data
|
| 71 |
+
leaderboard_df = pd.read_csv(StringIO(csv_data))
|
| 72 |
+
|
| 73 |
+
leaderboard_df = leaderboard_df.dropna()
|
| 74 |
+
|
| 75 |
+
return leaderboard_df
|
| 76 |
+
|
| 77 |
+
def process_csv_text(temp_file):
|
| 78 |
+
if isinstance(temp_file, str):
|
| 79 |
+
|
| 80 |
+
df = pd.read_csv(StringIO(temp_file))
|
| 81 |
+
|
| 82 |
+
else:
|
| 83 |
+
try:
|
| 84 |
+
df = pd.read_csv(temp_file.name)
|
| 85 |
+
except:
|
| 86 |
+
return None
|
| 87 |
+
|
| 88 |
+
return df
|
| 89 |
+
|
| 90 |
+
def app(team_name, password, csv_file):
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
# convert csv_file from bytes to file
|
| 94 |
+
|
| 95 |
+
|
| 96 |
+
# Check if the team is registered
|
| 97 |
+
# make get request to get team name from password
|
| 98 |
+
returned_team_name_json = make_get_request("get-team-name", {"password": password}).json()
|
| 99 |
+
# handle error by checking if the returned json has an error key
|
| 100 |
+
if "error" in returned_team_name_json:
|
| 101 |
+
|
| 102 |
+
return create_html_page("Error", "Invalid team name or password.")
|
| 103 |
+
|
| 104 |
+
else:
|
| 105 |
+
returned_team_name = returned_team_name_json["team_name"]
|
| 106 |
+
|
| 107 |
+
if team_name != returned_team_name:
|
| 108 |
+
return create_html_page("Error", "Invalid team name or password.")
|
| 109 |
+
|
| 110 |
+
else:
|
| 111 |
+
print("team name and password are correct")
|
| 112 |
+
# convert csv_file from bytes to file
|
| 113 |
+
|
| 114 |
+
# read csv file as dataframe
|
| 115 |
+
#df = pd.read_csv(csv_file.name,encoding='utf-8')
|
| 116 |
+
|
| 117 |
+
# convert tempfile to bytes
|
| 118 |
+
df = process_csv_text(csv_file)
|
| 119 |
+
if df is None:
|
| 120 |
+
return create_html_page("Error", "Invalid CSV file format.")
|
| 121 |
+
csv_data = df.to_csv(index=False)
|
| 122 |
+
|
| 123 |
+
# upload csv file to the server
|
| 124 |
+
upload_csv_response = make_post_request("upload", {"password": password}, data = csv_data)
|
| 125 |
+
|
| 126 |
+
# handle error by checking if the returned json has an error key
|
| 127 |
+
if "error" in upload_csv_response.json():
|
| 128 |
+
|
| 129 |
+
|
| 130 |
+
return create_html_page("Error", upload_csv_response.json()["error"] )
|
| 131 |
+
|
| 132 |
+
else:
|
| 133 |
+
|
| 134 |
+
return create_html_page("Success", upload_csv_response.json()["message"])
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
def formatter(x):
|
| 138 |
+
|
| 139 |
+
x = round(x, 2)
|
| 140 |
+
return x
|
| 141 |
+
|
| 142 |
+
def format_leaderboard(df,sort_by="F1 Score"):
|
| 143 |
+
# Formats the columns
|
| 144 |
+
|
| 145 |
+
for col in df.columns:
|
| 146 |
+
if col == "Team Name":
|
| 147 |
+
# do nothing
|
| 148 |
+
continue
|
| 149 |
+
|
| 150 |
+
elif col == "Team Members":
|
| 151 |
+
# do nothing
|
| 152 |
+
continue
|
| 153 |
+
else:
|
| 154 |
+
#if col type if numeric then format it else leave it as it is
|
| 155 |
+
if df[col].dtype == "float64" or df[col].dtype == "int64":
|
| 156 |
+
df[col] = df[col].apply(formatter) # For numerical values
|
| 157 |
+
df.sort_values(by=sort_by, inplace=True, ascending=False)
|
| 158 |
+
return df
|
| 159 |
+
|
| 160 |
+
|
| 161 |
+
|
| 162 |
+
|
| 163 |
+
leaderboard_df_1 = format_leaderboard(fetch_leaderboard(phase=1))
|
| 164 |
+
leaderboard_df_2 = format_leaderboard(fetch_leaderboard(phase=2))
|
| 165 |
+
#leaderboard_df_1 = None
|
| 166 |
+
#leaderboard_df_2 = None
|
| 167 |
+
|
| 168 |
+
COLS = [c.name for c in fields(AutoEvalColumn)]
|
| 169 |
+
TYPES = [c.type for c in fields(AutoEvalColumn)]
|
| 170 |
+
|
| 171 |
+
with gr.Blocks() as demo:
|
| 172 |
+
leaderboard_table_1 = None
|
| 173 |
+
leaderboard_table_2 = None
|
| 174 |
+
|
| 175 |
+
def button_clicked_phase_1(inputs):
|
| 176 |
+
|
| 177 |
+
leaderboard_df_1 = format_leaderboard(fetch_leaderboard(phase=1))
|
| 178 |
+
|
| 179 |
+
|
| 180 |
+
leaderboard_table_1 = gr.components.Dataframe(
|
| 181 |
+
value=leaderboard_df_1,
|
| 182 |
+
datatype=TYPES,
|
| 183 |
+
max_rows=None,
|
| 184 |
+
elem_id="leaderboard-table-1",
|
| 185 |
+
interactive=False,
|
| 186 |
+
visible=True,
|
| 187 |
+
|
| 188 |
+
)
|
| 189 |
+
|
| 190 |
+
return leaderboard_table_1
|
| 191 |
+
|
| 192 |
+
|
| 193 |
+
def button_clicked_phase_2():
|
| 194 |
+
|
| 195 |
+
leaderboard_df_2 = format_leaderboard(fetch_leaderboard(phase=2))
|
| 196 |
+
|
| 197 |
+
|
| 198 |
+
leaderboard_table_2 = gr.components.Dataframe(
|
| 199 |
+
value=leaderboard_df_2,
|
| 200 |
+
datatype=TYPES,
|
| 201 |
+
max_rows=None,
|
| 202 |
+
elem_id="leaderboard-table-2",
|
| 203 |
+
interactive=False,
|
| 204 |
+
visible=True,
|
| 205 |
+
|
| 206 |
+
)
|
| 207 |
+
|
| 208 |
+
return leaderboard_table_2
|
| 209 |
+
#outputs.update(leaderboard_df_2)
|
| 210 |
+
#inputs.value = leaderboard_df_1
|
| 211 |
+
|
| 212 |
+
|
| 213 |
+
|
| 214 |
+
|
| 215 |
+
gr.HTML(BANNER, elem_id="banner")
|
| 216 |
+
gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
|
| 217 |
+
gr.HTML(CSV_TEXT, elem_classes="markdown-text")
|
| 218 |
+
|
| 219 |
+
|
| 220 |
+
|
| 221 |
+
with gr.Tabs(elem_classes="tab-buttons") as tabs:
|
| 222 |
+
with gr.TabItem("🏅 Leaderboard Phase 1", elem_id="od-benchmark-tab-table-1", id=0):
|
| 223 |
+
|
| 224 |
+
leaderboard_table_1 = gr.components.Dataframe(
|
| 225 |
+
value=leaderboard_df_1,
|
| 226 |
+
datatype=TYPES,
|
| 227 |
+
max_rows=None,
|
| 228 |
+
elem_id="leaderboard-table-1",
|
| 229 |
+
interactive=False,
|
| 230 |
+
visible=True,
|
| 231 |
+
|
| 232 |
+
)
|
| 233 |
+
button = gr.Button("Refresh Leaderboard",interactive=True)
|
| 234 |
+
button.click(fn=button_clicked_phase_1,outputs=[leaderboard_table_1])
|
| 235 |
+
|
| 236 |
+
with gr.TabItem("🏅 Leaderboard Phase 2", elem_id="od-benchmark-tab-table-2", id=1):
|
| 237 |
+
|
| 238 |
+
|
| 239 |
+
leaderboard_table_2 = gr.components.Dataframe(
|
| 240 |
+
value=leaderboard_df_2,
|
| 241 |
+
datatype=TYPES,
|
| 242 |
+
max_rows=None,
|
| 243 |
+
elem_id="leaderboard-table-2",
|
| 244 |
+
interactive=False,
|
| 245 |
+
visible=True,
|
| 246 |
+
|
| 247 |
+
)
|
| 248 |
+
button = gr.Button("Refresh Leaderboard",interactive=True)
|
| 249 |
+
button.click(fn=button_clicked_phase_2,outputs=[leaderboard_table_2])
|
| 250 |
+
|
| 251 |
+
|
| 252 |
+
with gr.TabItem("📈 Upload CSV", elem_id="od-benchmark-tab-table", id=2):
|
| 253 |
+
|
| 254 |
+
gr.Interface(
|
| 255 |
+
fn=app,
|
| 256 |
+
title='CSV Upload and Leaderboard',
|
| 257 |
+
description='Upload a CSV file and see your team\'s rank on the leaderboard.',
|
| 258 |
+
layout='vertical',
|
| 259 |
+
theme='compact',
|
| 260 |
+
inputs=[
|
| 261 |
+
gr.Textbox(label='Team Name'),
|
| 262 |
+
gr.Textbox(label='Password'),
|
| 263 |
+
gr.File(file_count= "single", file_types =[".txt",".csv"] ,label='CSV File') # only allow csv files
|
| 264 |
+
],
|
| 265 |
+
outputs=gr.outputs.HTML()
|
| 266 |
+
)
|
| 267 |
+
|
| 268 |
+
|
| 269 |
+
|
| 270 |
+
|
| 271 |
+
|
| 272 |
+
|
| 273 |
+
|
| 274 |
+
|
| 275 |
+
|
| 276 |
+
gr.Markdown(f"Last updated on **{LAST_UPDATED}**", elem_classes="markdown-text")
|
| 277 |
+
|
| 278 |
+
demo.launch( debug=True)
|
| 279 |
+
|
| 280 |
+
|
init.py
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
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|
|
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|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import os
|
| 2 |
+
from pathlib import Path
|
| 3 |
+
|
| 4 |
+
# Directory where request by models are stored
|
| 5 |
+
DIR_OUTPUT_REQUESTS = Path("requested_models")
|
| 6 |
+
EVAL_REQUESTS_PATH = Path("eval_requests")
|
| 7 |
+
|
| 8 |
+
from pathlib import Path
|
| 9 |
+
from huggingface_hub import HfApi, Repository
|
| 10 |
+
|
| 11 |
+
TOKEN_HUB = os.environ.get("TOKEN_HUB", None)
|
| 12 |
+
QUEUE_REPO = os.environ.get("QUEUE_REPO", None)
|
| 13 |
+
QUEUE_PATH = os.environ.get("QUEUE_PATH", None)
|
| 14 |
+
|
| 15 |
+
hf_api = HfApi(
|
| 16 |
+
endpoint="https://huggingface.co",
|
| 17 |
+
token=TOKEN_HUB,
|
| 18 |
+
)
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
def upload_file(requested_model_name, path_or_fileobj):
|
| 23 |
+
dest_repo_file = Path(EVAL_REQUESTS_PATH) / path_or_fileobj.name
|
| 24 |
+
dest_repo_file = str(dest_repo_file)
|
| 25 |
+
hf_api.upload_file(
|
| 26 |
+
path_or_fileobj=path_or_fileobj,
|
| 27 |
+
path_in_repo=str(dest_repo_file),
|
| 28 |
+
repo_id=QUEUE_REPO,
|
| 29 |
+
token=TOKEN_HUB,
|
| 30 |
+
repo_type="dataset",
|
| 31 |
+
commit_message=f"Add {requested_model_name} to eval queue")
|
| 32 |
+
|
| 33 |
+
def get_all_requested_models(directory):
|
| 34 |
+
directory = Path(directory)
|
| 35 |
+
all_requested_models = list(directory.glob("*.txt"))
|
| 36 |
+
return all_requested_models
|
| 37 |
+
|
| 38 |
+
def get_csv_with_results(directory):
|
| 39 |
+
directory = Path(directory)
|
| 40 |
+
all_csv_files = list(directory.glob("*.csv"))
|
| 41 |
+
latest = [f for f in all_csv_files if f.stem.endswith("latest")]
|
| 42 |
+
if len(latest) != 1:
|
| 43 |
+
return None
|
| 44 |
+
return latest[0]
|
| 45 |
+
|
| 46 |
+
|
| 47 |
+
|
| 48 |
+
def is_model_on_hub(model_name, revision="main") -> bool:
|
| 49 |
+
try:
|
| 50 |
+
model_name = model_name.replace(" ","")
|
| 51 |
+
author = model_name.split("/")[0]
|
| 52 |
+
model_id = model_name.split("/")[1]
|
| 53 |
+
if len(author) == 0 or len(model_id) == 0:
|
| 54 |
+
return False, "is not a valid model name. Please use the format `author/model_name`."
|
| 55 |
+
except Exception as e:
|
| 56 |
+
return False, "is not a valid model name. Please use the format `author/model_name`."
|
| 57 |
+
|
| 58 |
+
try:
|
| 59 |
+
models = list(hf_api.list_models(author=author, search=model_id))
|
| 60 |
+
matched = [model_name for m in models if m.modelId == model_name]
|
| 61 |
+
if len(matched) != 1:
|
| 62 |
+
return False, "was not found on the hub!"
|
| 63 |
+
else:
|
| 64 |
+
return True, None
|
| 65 |
+
except Exception as e:
|
| 66 |
+
print(f"Could not get the model from the hub.: {e}")
|
| 67 |
+
return False, "was not found on hub!"
|
logo_leaderboard.png
ADDED
|
request_api.py
ADDED
|
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Generic code to make api requests using python requests library: frame
|
| 2 |
+
|
| 3 |
+
|
| 4 |
+
|
| 5 |
+
import requests
|
| 6 |
+
|
| 7 |
+
from urllib.parse import urljoin, urlencode, urlparse, urlunparse
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
# Define the base URL
|
| 11 |
+
BASE_URL = 'https://6146-134-28-45-21.ngrok-free.app/'
|
| 12 |
+
#BASE_URL = 'http://127.0.0.1:5000/'
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
def make_get_request(endpoint,params):
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
# Make a GET request to the endpoint
|
| 20 |
+
response = requests.get(
|
| 21 |
+
url = f'{BASE_URL}{endpoint}',
|
| 22 |
+
params=params,
|
| 23 |
+
verify=False
|
| 24 |
+
)
|
| 25 |
+
|
| 26 |
+
# Check if the response is successful
|
| 27 |
+
|
| 28 |
+
return response
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
# Make a POST request to the endpoint
|
| 32 |
+
|
| 33 |
+
def make_post_request(endpoint,params,data=None):
|
| 34 |
+
if data is None:
|
| 35 |
+
return
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
# Make a POST request to the endpoint
|
| 39 |
+
response = requests.post(
|
| 40 |
+
url=BASE_URL + endpoint,
|
| 41 |
+
params=params,
|
| 42 |
+
data=data,
|
| 43 |
+
verify=False
|
| 44 |
+
)
|
| 45 |
+
|
| 46 |
+
# Check if the response is successful
|
| 47 |
+
|
| 48 |
+
# Return the error
|
| 49 |
+
return response
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
|
utils_display.py
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from dataclasses import dataclass
|
| 2 |
+
|
| 3 |
+
# These classes are for user facing column names, to avoid having to change them
|
| 4 |
+
# all around the code when a modif is needed
|
| 5 |
+
@dataclass
|
| 6 |
+
class ColumnContent:
|
| 7 |
+
name: str
|
| 8 |
+
type: str
|
| 9 |
+
|
| 10 |
+
def fields(raw_class):
|
| 11 |
+
return [v for k, v in raw_class.__dict__.items() if k[:2] != "__" and k[-2:] != "__"]
|
| 12 |
+
|
| 13 |
+
@dataclass(frozen=True)
|
| 14 |
+
class AutoEvalColumn: # Auto evals column
|
| 15 |
+
model = ColumnContent("Model", "markdown")
|
| 16 |
+
avg_wer = ColumnContent("Average WER ⬇️", "number")
|
| 17 |
+
rtf = ColumnContent("RTF (1e-3) ⬇️", "number")
|
| 18 |
+
ami_wer = ColumnContent("AMI", "number")
|
| 19 |
+
e22_wer = ColumnContent("Earnings22", "number")
|
| 20 |
+
gs_wer = ColumnContent("Gigaspeech", "number")
|
| 21 |
+
lsc_wer = ColumnContent("LS Clean", "number")
|
| 22 |
+
lso_wer = ColumnContent("LS Other", "number")
|
| 23 |
+
ss_wer = ColumnContent("SPGISpeech", "number")
|
| 24 |
+
tl_wer = ColumnContent("Tedlium", "number")
|
| 25 |
+
vp_wer = ColumnContent("Voxpopuli", "number")
|
| 26 |
+
cv_wer = ColumnContent("Common Voice", "number")
|
| 27 |
+
|
| 28 |
+
|
| 29 |
+
def make_clickable_model(model_name):
|
| 30 |
+
link = f"https://huggingface.co/{model_name}"
|
| 31 |
+
return f'<a target="_blank" href="{link}" style="color: var(--link-text-color); text-decoration: underline;text-decoration-style: dotted;">{model_name}</a>'
|
| 32 |
+
|
| 33 |
+
def styled_error(error):
|
| 34 |
+
return f"<p style='color: red; font-size: 20px; text-align: center;'>{error}</p>"
|
| 35 |
+
|
| 36 |
+
def styled_warning(warn):
|
| 37 |
+
return f"<p style='color: orange; font-size: 20px; text-align: center;'>{warn}</p>"
|
| 38 |
+
|
| 39 |
+
def styled_message(message):
|
| 40 |
+
return f"<p style='color: green; font-size: 20px; text-align: center;'>{message}</p>"
|